• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.4
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• pp.99-111
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• 2018

Service areas in expressways are very important facilities in terms of efficient expressway operation and the convenience of users. It needs a traffic management strategy to inform drivers in advance about congestion in service areas so as to distribute users of service areas. But due to the lack of sensors and data on numbers of people in the service areas, congestion in service areas had not been measured and managed appropriately. In this study, a congestion index for service areas was developed using telecommunication floating population big data. Two alternative indices (i.e., density of service areas and floating population V/c of service areas) were developed. Finally, the floating population V/c of service areas was selected as a congestion index for service areas for reasons of the ease of understanding and comparison.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.5D
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• pp.421-427
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• 2012

This study develops the evaluation model which is for assessing on the side of users in expressway service areas, and researchers apply this study for monitoring expressway service areas by routes. The direction of development on Evaluation Criteria is all about on the side of necessity of rest area users, the reflection of current conditions, the construction of total evaluation criteria, and the examination of connecting study with current study. After that, this study examines previous evaluation criterias and researchers will select the primary provision of evaluation through FGI, and they derive the final evaluation criteria throughout the verification of suitability on Evaluation Criteria. Throughout AHP analysis which is a professional survey system of users, researchers dereive on the side of facilities, on the side of environments facilities, on the side of position, and on the side of services in order by the weightings. As you can see in this study, this study also considers quantitative and qualitative factors together, and it allows to evaluate conditions of rest areas. In addition, this study can be a primary study for suggesting the ways of improvements of rest areas by using Spider Map and for monitoring future study.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.4
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• pp.63-75
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• 2018

A Service Area plays an important role in preventing accidents in advance by creating a space for long distance drivers or drowsy drivers to rest. Therefore, proper positioning of the expressway service area is essential, and it is important to analyze accurate demand forecasting and user travel behavior. Thus, this study analysis travel behavior and developed odel of the probability of using the service area by using the DSRC data collected by the RSE on the highway. According to the analysis, the usage behavior of highway service areas was most frequently when travel time was 90 minutes or more on weekdays and 70 minutes or more on weekends. The utilization rate of the service area estimated from the probability model of use of the rest area in this study was 1 % to 2 % error. The results of this study are meaningful in analyzing the behavior of the use of rest areas using the structured data and can be used as a differentiated strategy for selecting the location of rest areas and enhancing the service level of users.

• International Journal of Highway Engineering
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• v.14 no.3
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• pp.121-130
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• 2012

This study develops the evaluation model which is for assessing on the side of users in expressway service areas. The direction of development on Evaluation Criteria is all about on the side of necessity of service area users, the reflection of current conditions, the construction of total evaluation criteria, and the examination of connecting study with current study. After that, this study examines previous evaluation criterias and researchers will select the primary provision of evaluation through FGI, and they derive the final evaluation criteria throughout the verification of suitability on Evaluation Criteria. Throughout AHP analysis which is a professional survey system of users, researchers derive on the side of facilities, on the side of operations, on the side of environments, and on the side of services in order by the weightings.

• Journal of Korean Society of Transportation
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• v.27 no.6
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• pp.7-18
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• 2009

In 2008, there are 135 service areas, which provide for drivers to convenience on expressways. But there are some problems on parking capacity, because it is failed to calculate the appropriate parking lots of the service area. The fundamental problem is that the size of parking lots is calculated by simple value; despite there are various factors of utilization, congestion, and turnover. This paper describes a study on proper coefficient for calculating the appropriate service area, considering the characteristics of drivers' behavior. We conducted statistical analysis with the surveyed data in "Status of the expressway facilities in 2004." Analysis results show there are some difference by day and night, and vehicle type with the factor of utilization, congestion, and turnover, and there are different usages according to expressway route. The results indicate that the usage of a service area have different characteristics by time and space, and vehicle type.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.3
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• pp.63-76
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• 2015

This study was carried out to suggest improvement plans for problems with the landscape areas of highway service areas. The survey factors were land use, placement of green area and land coverage in terms of spatial and environmental property. Noise and topographic structure in detached green areas were surveyed in terms of impact factor. The status of the planting area around each service area was analysed in regards to planting structure and planting landscape. As a result, the mean of rations of land use were 81.6% building and 18.4% green areas, which were composed of 5.4% landscape area, 9.1% buffer area, etc. Planting areas as usable space accounted for only 0.7%, and the result of noise measurement was different according to the distribution of highway and service area and type of detached green area. The mean of ratio of planting area was 18.4%, which consists of 6.7% landscape planting, 3.4% other green area, 4.6% buffer area, 2.0% buffer and landscape area, 1.1% shade planting and 0.5% landscape and shade planting. Most planting areas aim at landscape appreciation and areas in which visitors can relax and gain recreation were insufficient. The planting structures of service areas were 52.2% canopy layer, 11.8% shrubs and 9.4% canopy and shrub layers, and most of the planting areas were a single layer of green area. Multi-layered planting structures in the landscape and buffer areas were required and a shade planting area was needed to improve amenities as planting canopy layered trees. This study suggested improvement methods for based environments, spatial function and planting function in landscape areas.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.5
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• pp.35-44
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• 2021

In recent times, several studies have been conducted focusing on crashes occurring on the main segment of the highway. However, there is a dearth of research dealing with traffic safety relating to other highway facilities, especially ramp areas. According to the Korea Expressway Corporation's Expressway Information Service, 6,717 crashes have occurred on ramps in the five years from 2015~2019, which accounts for about 15% of all highway accidents. In this study, the simple and full safety performance functions (SPFs) were evaluated and explored using different statistical distributions (i.e., Poisson Gamma (PG) and Poisson Inverse Gaussian (PIG)) and techniques (i.e., fixed effects (FE) and random effects (RE)) to provide more accurate crash prediction models for highway ramp sections. Data on the geometric characteristics of traffic and roadways were collected from various systems and with extensive efforts using a street-view application. The results showed that the PIG models present more accurate crash predictions in general. The results also indicated that the RE models performed better than FE models for simple and full SPFs. The findings from this study offer transportation practitioners using the Korea Expressway Corporation's Expressway a dependable reference to enhance and understand traffic safety in ramp areas based on accurate crash prediction models and empirical evidence.

• Journal of Information Technology Services
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• v.19 no.6
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• pp.1-13
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• 2020

Recently, 80% of big data consists of unstructured text data. In particular, various types of documents are stored in the form of large-scale unstructured documents through social network services (SNS), blogs, news, etc., and the importance of unstructured data is highlighted. As the possibility of using unstructured data increases, various analysis techniques such as text mining have recently appeared. Therefore, in this study, topic modeling technique was applied to the Korea Highway Corporation's voice of customer (VOC) data that includes customer opinions and complaints. Currently, VOC data is divided into the business areas of Korea Expressway Corporation. However, the classified categories are often not accurate, and the ambiguous ones are classified as "other". Therefore, in order to use VOC data for efficient service improvement and the like, a more systematic and efficient classification method of VOC data is required. To this end, this study proposed two approaches, including method using only the latent dirichlet allocation (LDA), the most representative topic modeling technique, and a new method combining the LDA and the word embedding technique, Word2vec. As a result, it was confirmed that the categories of VOC data are relatively well classified when using the new method. Through these results, it is judged that it will be possible to derive the implications of the Korea Expressway Corporation and utilize it for service improvement.

• Culinary science and hospitality research
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• v.18 no.3
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• pp.1-17
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• 2012

This study was planned for an empirical review of foodservice operation in expressway rest areas for a menu strategy targeting staff and customers. The results were as follows. Main foodservice category included 10-30 items of Korean dishes. The needs for having branded foodservice menu in rest areas were high in fusion/fast foods, snack/ready-made and beverages. Employment of professional cooks in rest areas was low (10-30%), and the most important factor was 'taste' when cooking Korean foods. Foreigners preferred fusion/fast foods and snack/ready-made foods to Korean food, beverages and Japanese/Chinese foods, and most of the foreigners ordered food with 'no question'(55.5%) or 'some questions'(34.8%). Rest area staff prepared some photos/pictures of foods (80-100%) for menu comprehension, but the accuracy of menu transcription was very low. Customers used a rest area once or twice, stayed for 10-20 min(43.6%)/20-30 min(38.6%), visited by car(77.7%) to relax and use toilets(61.6%) on average. Favorite food and snacks were Korean(32.7%) and ready made/snacks(33.0%), and they spent 5,000-10,000 won(51.3%), 3,000-5,000 won(25.8%) on them. Customer satisfaction with rest areas was 'average' regardless of gender, age, education levels and jobs. With this analysis, we should prepare an efficient menu strategy for customer satisfaction and plans for analyzing problems along with alternatives.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.6D
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• pp.565-569
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• 2012

This study selected blind spot areas for public transportation in four metropolitan cities including Busan, Daegue, Gwangju, and Daejeon. Then this study developed a nested logit model and analyzed the changes of mode choice behaviors after adopting rapid transit system using stated preference(SP) survey. As the study results, blind spot areas have more potential public transportation demand and tendency to shift to public transportation from autos than built-up areas. This study results can be utilized to evaluate demand changes for new rapid transit system in a circular expressway and an arterial highway connecting CBD and surrounding areas. The study results also can be utilized to analyze the potential public transportation demand in the surrounding areas.